from azureml.core import Model
# Register model
best_run.register_model(model_path='outputs/diabetes_model.pkl', model_name='diabetes_model',
tags={'Training context':'Hyperdrive'},
properties={'AUC': best_run_metrics['AUC'], 'Accuracy': best_run_metrics['Accuracy']})
# List registered models
for model in Model.list(ws):
print(model.name, 'version:', model.version)
for tag_name in model.tags:
tag = model.tags[tag_name]
print ('\t',tag_name, ':', tag)
for prop_name in model.properties:
prop = model.properties[prop_name]
print ('\t',prop_name, ':', prop)
print('\n')
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